WO2015186963A1 - Dispositif de calcul de l'âge biologique du cerveau et procédé de calcul associé - Google Patents

Dispositif de calcul de l'âge biologique du cerveau et procédé de calcul associé Download PDF

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Publication number
WO2015186963A1
WO2015186963A1 PCT/KR2015/005564 KR2015005564W WO2015186963A1 WO 2015186963 A1 WO2015186963 A1 WO 2015186963A1 KR 2015005564 W KR2015005564 W KR 2015005564W WO 2015186963 A1 WO2015186963 A1 WO 2015186963A1
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Prior art keywords
brain
age
information
thickness
test subject
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PCT/KR2015/005564
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English (en)
Korean (ko)
Inventor
나덕렬
서상원
성준경
김창수
Original Assignee
사회복지법인 삼성생명공익재단
고려대학교 산학협력단
연세대학교 산학협력단
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Application filed by 사회복지법인 삼성생명공익재단, 고려대학교 산학협력단, 연세대학교 산학협력단 filed Critical 사회복지법인 삼성생명공익재단
Priority to JP2016570992A priority Critical patent/JP6501801B2/ja
Priority to US15/315,443 priority patent/US10548507B2/en
Priority to EP15802511.4A priority patent/EP3153100A4/fr
Publication of WO2015186963A1 publication Critical patent/WO2015186963A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
    • A61B5/004—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
    • A61B5/0042—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the brain
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1076—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions inside body cavities, e.g. using catheters
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4058—Detecting, measuring or recording for evaluating the nervous system for evaluating the central nervous system
    • A61B5/4064—Evaluating the brain
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00—Medical imaging apparatus involving image processing or analysis
    • A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • A61B2576/023—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the heart
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00—Medical imaging apparatus involving image processing or analysis
    • A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • A61B2576/026—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the brain

Definitions

  • the present invention relates to a technique for calculating a biological brain age, and more particularly, an apparatus and method for measuring the cortical thickness of each region in a brain MRI image of a test subject and comparing the same with normal control information to calculate the biological brain age. It is about.
  • results of blood tests and urine tests can be used by the users by presenting the normal values, but there are no standardized indicators for the brain indicators.
  • the present invention has been proposed to solve the above-mentioned conventional problems, the purpose of the biological brain age calculation device according to the present invention is to measure the cortical thickness of each area in the MRI brain image of the test subject,
  • the present invention provides a device that calculates and provides a biological brain age of a subject as a mathematical indicator according to thickness.
  • Another object is to further include the brain age information, to store and manage the age-specific brain thickness information, brain disease characteristic information, the test subject basic information, MRI brain image information, health questionnaire information for calculating the brain age.
  • Another object is to further include a brain disease prediction unit, to predict and provide specific brain disease information according to the brain age of the test subject.
  • Another purpose is to derive risk lifestyle factors according to specific brain disease information predicted for each subject and to provide life guide information for prevention.
  • the purpose of the biological brain age calculation method according to the present invention is to receive the basic information of the subject, health questionnaire information, MRI brain image, and to measure the brain cortex thickness information for each area to calculate and provide the brain age of the subject.
  • Another purpose is to apply the cortical thickness of the test subject to the regression equation in which the degree of brain atrophy according to the age and the cortical thickness is estimated by a statistical method in calculating the brain age of the test subject.
  • the biological brain age calculation apparatus includes an image information input unit for inputting an MRI brain image of a test subject, a brain age calculation control unit for controlling a biological brain age calculation task of the test subject based on the MRI brain image, the MRI brain Brain Brain thickness measurement unit for measuring the thickness of the brain cortex for each area in the image and brain age calculation unit for calculating the biological brain age of the test subject by matching the measured brain cortex thickness in the normal range of age, characterized in that it comprises a do.
  • the biological brain age calculation apparatus is connected to the brain age calculation control unit, brain thickness information by age of the normal control group, brain thickness violation area information by brain disease, basic information of the test subject, the MRI brain of the test subject
  • the brain age information unit may further include at least one of the image information and the health questionnaire information of the test subject.
  • the biological brain age calculation apparatus is connected to the brain age calculation control unit, characterized in that it further comprises a test subject information input unit for inputting the basic information and health questionnaire information of the test subject.
  • the biological brain age calculation apparatus is connected to the brain age calculation control unit, further comprising a brain disease prediction unit for providing specific brain disease information predicted according to the brain age of the test subject calculated by the brain age calculator. Characterized in that.
  • the brain disease predicting unit derives an individual lifestyle factor that causes deterioration of brain thickness on the health questionnaire of the test subject according to the predicted specific brain disease information. It is characterized by providing information on life guidelines for the prevention of certain brain diseases.
  • the biological brain age calculation method comprises the steps of (a) inputting the basic information and health questionnaire information of the subject using the subject information input unit, (b) the MRI brain of the subject using the image information input unit Inputting an image, (c) measuring the cortical thickness for each region in the MRI brain image by using the brain thickness measuring unit, and (d) using the brain age calculator, measuring the cortical thickness measured by the age-specific brain. Matching the normal range of thickness, and calculating the biological brain age of the test subject.
  • the biological brain age calculation apparatus measures the thickness of the brain cortex for each region in the MRI brain image of the test subject, the biological brain age of the test subject according to the measured thickness of the brain cortex as a mathematical indicator By calculating, it is possible to provide an accurate brain health state to the test subjects during the medical examination, and further has an effect of enabling the prevention of brain diseases by utilizing for early brain health examination.
  • the test subjects can actively improve their lifestyle to prevent brain disease. There is.
  • the biological brain age calculation method can calculate and provide the biological brain age of the test subject by receiving the basic information of the subject, health questionnaire information, MRI brain image and measuring the cortical thickness information for each region, and health At the time of examination, it is effective to provide prediction and diagnostic information for degenerative brain disease.
  • Another object is to calculate the brain age of the subject by applying the brain cortex thickness of the subject to the regression equation applying the degree of brain atrophy according to the age and the cortical thickness by the estimation statistical method.
  • the brain age data can be used to consult the exact brain health status.
  • FIG. 1 is a block diagram showing the overall configuration of the biological brain age calculation apparatus according to the present invention.
  • FIG. 2 is a view showing the relationship between age and brain cortex thickness according to male, female, integrated gender in calculating the biological brain age according to the present invention.
  • FIG. 3 is a diagram illustrating an embodiment of individual brain age calculation in the relationship between age and brain cortex thickness in the biological brain age calculation apparatus according to the present invention.
  • FIG. 4 is a diagram illustrating an embodiment of a calculation result display unit in a biological brain age calculation apparatus according to the present invention.
  • Figure 5 is a flow chart showing the overall flow of the biological brain age calculation method according to the present invention.
  • FIG. 6 is a flow chart showing the detailed flow of the step S60 in the biological brain age calculation method according to the present invention.
  • FIG. 1 is a view showing the overall configuration of the biological brain age calculation apparatus according to the present invention, the image information input unit 10, brain age calculation control unit 20, test subject information input unit 30, brain thickness measurement unit 40 , Brain age calculation unit 50, brain disease prediction unit 60, brain age information unit 70 and the calculation result display unit 80.
  • the image information input unit 10 inputs an MRI brain image of a test subject, and the MRI brain image according to the present invention preferably inputs an image for checking a cortical state for each brain region of the test subject, and the image information input unit
  • the MRI brain image information input at 10 is transmitted to the brain age calculation control unit 20.
  • the brain age calculation control unit 20 controls the biological brain age calculation task of the test subject based on the MRI brain image, the MRI brain image information is transferred, the brain thickness measurement unit 40 to the brain for each region You will be asked to calculate cortical thickness.
  • the test subject information input unit 30 is connected to the brain age calculation control unit 20 to input basic test information and health questionnaire information of the test subject, and the MRI brain image input through the test subject information input unit 30.
  • the test subjects can be identified, and the health questionnaire information prepared by the test subjects can be used for information on brain diseases that can occur later.
  • the basic information includes at least one or more of a test subject's name, age, gender, BMI, health insurance card number, and educational attainment information
  • the health questionnaire information includes the usual lifestyle or past illness of the test subject. It includes information that can identify your current health status.
  • the brain thickness measurement unit 40 is connected to the brain age calculation control unit 20 to measure the cortical thickness for each region in the MRI brain image, and calculate the total average brain thickness and region-specific brain thickness of the test subject.
  • the total average brain thickness and the area-specific brain thickness may be transmitted to the brain age calculation control unit 20.
  • the brain age calculation unit 50 is connected to the brain age calculation control unit 20, matching the measured brain cortex thickness to the normal range of brain thickness by age, to calculate the biological brain age of the test subject, the present invention
  • the brain age calculation unit 50 calculates the brain age of the test subject by applying the brain cortex thickness of the test subject to the regression equation that is applied to the degree of brain atrophy according to the age and the cortical thickness by a statistical method.
  • MRI photographed by subjects of the normal control group by age, the average brain thickness and the brain thickness by region can be calculated, the brain thickness by age of the normal control group can be calculated, in the embodiment of the present invention, the average of 2500 subjects
  • a graph as shown in (c) of FIG. 2 may be derived, and as shown in (a) and (b) of FIG. 2, average brain thickness information may be derived according to gender.
  • the brain disease predicting unit 60 is connected to the brain age calculating control unit 20 and provides specific brain disease information predicted according to the brain age of the test subject calculated by the brain age calculating unit.
  • the brain age is calculated by matching the age and cerebral cortex thickness information of the normal control, as shown in Figure 3, the person with a low brain thickness A and the person with a high brain thickness B at the same age
  • the A person was found to have low education level, high BMI, high blood pressure, diabetes, alcohol, and a lot of cigarettes, and the B person had high education level, BMI was appropriate, high blood pressure, There is no diabetes, alcohol and tobacco do not appear, according to the current degree of brain atrophy can provide degenerative brain disease information.
  • the brain disease predicting unit 60 derives individual lifestyle factors that cause deterioration of brain thickness on the health questionnaire of the test subject according to the predicted specific brain disease information, and guides life for preventing a specific brain disease. Information may be provided through the calculation result display unit 80.
  • the calculation result display unit 80 is connected to the brain age calculation control unit 20, and displays the brain age calculation process of the test subject to the outside, in the embodiment of the present invention, as shown in FIG. Name, gender, age, and test date are displayed, and brain age calculation results and brain disease prediction information are displayed.
  • the brain age information unit 70 is connected to the brain age calculation control unit 20, the brain thickness information by age, gender, and education of the normal control group, brain thickness violation area information by brain disease, basic information of the test subject, At least one of the MRI brain image information of the test subject and the health questionnaire information of the test subject is stored.
  • the biological brain age calculation apparatus measures the thickness of the brain cortex for each region in the MRI brain image of the test subject, the biological brain age of the test subject according to the measured thickness of the brain cortex as a mathematical indicator By calculating, there is an effect that can provide an accurate brain health state to the test subjects during the health examination, and furthermore, it is effective to enable the prevention of brain diseases by utilizing for early brain health examination.
  • the basic information input in step S10 includes at least one or more of a test subject's name, age, gender, BMI, health insurance card number, and educational attainment information. Information about your current health status, including your usual lifestyle and past illnesses.
  • the step of storing the brain thickness information by age, sex, and educational attainment and the brain thickness violation area information by brain disease in the brain age information unit are preceded. .
  • the step S20 of inputting the MRI brain image of the test subject by using the image information input unit 10 is performed, and the area of the MRI brain image by the brain thickness measurement unit 40 is performed.
  • Measuring the cortical thickness (S30), and using the brain age calculation unit 50, by matching the measured brain cortex thickness to the normal brain thickness by age range, biological brain age of the test subject The calculating step S40 is performed.
  • the step S40 calculates the brain age of the test subject by applying the brain cortex thickness of the test subject to the regression equation applied by the statistical method to estimate the degree of brain atrophy according to age and brain cortex thickness.
  • step S50 if degenerative brain disease information exists in step S50, the predicted brain disease information is provided (S60).
  • step S60 the specific brain disease information is derived (S61) to be predicted, and according to the predicted specific brain disease information, the individual causes the deterioration of the brain thickness on the health questionnaire of the test subject.
  • step S70 of displaying the calculated brain age of the test subject and the predicted specific brain disease information is performed on the calculation result display unit 80, and the brain age calculated from the brain age information unit 70 is predicted.
  • a step of storing specific brain disease information is performed (S80).
  • applying the biological brain age calculation method according to the present invention receives the basic information of the subject, health questionnaire information, MRI brain images and by measuring the area of brain cortex thickness by area to measure the biological brain age of the subject It can be calculated and provided, and can provide the effect of providing prediction and diagnostic information for degenerative brain diseases during health examinations.

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Abstract

La présente invention concerne un dispositif et un procédé de calcul de l'âge biologique du cerveau consistant à mesurer l'épaisseur du cortex cérébral au niveau de chaque région d'une image IRM du cerveau d'une personne faisant l'objet d'un examen et à comparer l'épaisseur du cortex cérébral avec des informations concernant un groupe témoin normal. Le dispositif comprend : une unité d'entrée d'informations d'imagerie permettant d'entrer une image IRM du cerveau de la personne faisant l'objet de l'examen ; une unité de commande du calcul de l'âge du cerveau permettant de conduire une opération de calcul de l'âge biologique du cerveau de la personne faisant l'objet de l'examen sur la base de l'image IRM du cerveau ; une unité de mesure de l'épaisseur du cortex cérébral permettant de mesurer l'épaisseur du cortex cérébral au niveau de chaque région de l'image IRM du cerveau ; et une unité de calcul de l'âge du cerveau permettant de faire coïncider l'épaisseur du cortex cérébral mesurée avec la plage normale d'épaisseur du cortex cérébral en fonction de l'âge de manière à calculer l'âge biologique du cerveau de la personne faisant l'objet de l'examen.
PCT/KR2015/005564 2014-06-03 2015-06-03 Dispositif de calcul de l'âge biologique du cerveau et procédé de calcul associé WO2015186963A1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2016570992A JP6501801B2 (ja) 2014-06-03 2015-06-03 生物学的脳年齢の算出装置およびその算出方法
US15/315,443 US10548507B2 (en) 2014-06-03 2015-06-03 Biological brain age calculation device and calculation method therefor
EP15802511.4A EP3153100A4 (fr) 2014-06-03 2015-06-03 Dispositif de calcul de l'âge biologique du cerveau et procédé de calcul associé

Applications Claiming Priority (2)

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KR1020140067742A KR101620302B1 (ko) 2014-06-03 2014-06-03 생물학적 뇌연령 산출 장치 및 그 산출 방법
KR10-2014-0067742 2014-06-03

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WO2015186963A1 true WO2015186963A1 (fr) 2015-12-10

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US (1) US10548507B2 (fr)
EP (1) EP3153100A4 (fr)
JP (1) JP6501801B2 (fr)
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WO (1) WO2015186963A1 (fr)

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JP7036374B2 (ja) * 2017-10-13 2022-03-15 株式会社Splink 保険料算定システム及び保険料算定方法
KR102225775B1 (ko) * 2018-11-27 2021-03-09 가톨릭대학교 산학협력단 의료 영상으로부터 뇌혈관 나이를 추정하는 방법 및 시스템
CN109497951A (zh) * 2018-12-21 2019-03-22 中国科学院自动化研究所 基于脑影像的脑结构和功能特征展示系统
EP3882850A1 (fr) * 2020-03-20 2021-09-22 Siemens Healthcare GmbH Procédé et système pour mesurer une étape de maturation à l'aide d'irm
CN111863247B (zh) * 2020-08-03 2022-04-15 北京航空航天大学 基于结构磁共振影像的大脑年龄级联精炼预测方法及系统
JP7479317B2 (ja) 2021-03-16 2024-05-08 Kddi株式会社 情報処理装置、方法及びプログラム
CN113545751A (zh) * 2021-07-20 2021-10-26 遵义医科大学附属医院 基于机器学习的Rolandic癫痫儿童的脑龄评估方法
KR102607398B1 (ko) * 2022-01-19 2023-11-29 이화여자대학교 산학협력단 뇌연령에 기초한 연령 관련 인지 저하 모니터링 방법 및 장치
WO2023190880A1 (fr) * 2022-03-31 2023-10-05 株式会社エム Dispositif d'analyse de données d'image cérébrale, procédé d'analyse de données d'image cérébrale et programme d'analyse de données d'image cérébrale
KR102654738B1 (ko) 2022-05-30 2024-04-04 전북대학교병원 자기공명영상을 이용한 뇌 연령 측정 시스템 및 방법

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KR20150139307A (ko) 2015-12-11
JP2017522927A (ja) 2017-08-17
US10548507B2 (en) 2020-02-04
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